Performance improvement of three-phase wind-driven SEIG using adaptive neuro-fuzzy inference system

This work describes the analysis and design of the adaptive neuro-fuzzy inference system (ANFIS) and proportional-integral (PI) controller-based indirect vector control (IVC) of self-excited induction generator in the wind energy system. The proposed IVC using the ANFIS controller gives good transient and quick dynamic response during variable speed. Further performance of the proposed IVC technique has been analyzed independently with ANFIS and PI controller. The IVC using ANFIS gives better performance compared with PI controller in terms of undershoot/overshoot and settling time of speed, DC voltage, and torque. The proposed technique is implemented in the experimental and MATLAB/SIMULINK environment at a rating of 4-kW system under variable speeds.